Shunyi Liao
Biographic Data
| ID | 4417564 |
|---|---|
| NAME | Shunyi Liao |
| GIVEN NAMES | Shunyi |
| FAMILY NAME | Liao |
| SIGNATURE | LIAO S |
| AFFILIATIONS | Guangzhou Urban Planning Survey & Design Institute |
| VERIFIED | No |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Uncovering the residential relocation during urban renewal with time-series big data and spatial interpretable machine learning
Dual exposure disparity: Age-specific and diurnal‐nocturnal heat exposure inequity in a subtropical metropolis
Precision governance for urban decarbonization: Decoupling passenger and freight transport emissions by integrating explainable AI and clustering
Lively Guangzhou: Deciphering the divergent intra-urban vibrancy across historic districts and CBD using interpretable machine learning
AED Inequity among Social Groups in Guangzhou
Automated external defibrillators (AEDs) are regarded as the most important public facility after fire extinguishers due to their importance to out-of-hospital cardiac arrest (OHCA) victims. Previous studies focused on the location optimization of the AED, with little attention to inequity among different social groups. To comprehensively investigate the spatial heterogeneity of the AED inequity, we first collected AED data from a WeChat applet. …
Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Summer electricity consumption and its drivers in urban areas
Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets
Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Location differs between traditional and new retail: A comparison analysis of Starbucks and Luckin Coffee in China using machine learning
Observed Equity and Driving Factors of Automated External Defibrillators: A Case Study Using WeChat Applet Data
Out-of-hospital cardiac arrest (OHCA) causes a high mortality rate each year, which is a threat to human well-being and health. An automated external defibrillator (AED) is an effective device for heart attack-related diseases and is a panacea to save OHCA. Most relevant literature focuses on the spatial distribution, accessibility, and configuration optimization of AED devices, which all belong to the characteristics of the spatial distribution …
Portraying business district vibrancy with mobile phone data and optimal parameters-based geographical detector model
Interactive Impacts of Built Environment Factors on Metro Ridership Using GeoDetector: From the Perspective of TOD
TOD (transit-oriented development) is a planning concept that uses public transportation stations as the center of development, and it aims to integrate land use efficiency and transportation planning linkages to encourage the use of public transportation. The impact of metro TOD projects on urban transportation is multifaceted and complex, and the promotion of metro TOD ridership is an important topic in academic circles. However, the theoretica…
Portraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns and their clusters. In this study, a novel spatiotemporal analytical framework with an integration of spatial mobility patterns and non-spatial behavior, through smart phone APP (applications) usa…
Spatial Distribution and Mechanism of Urban Occupation Mixture in Guangzhou: An Optimized GeoDetector-Based Index to Compare Individual and Interactive Effects
Numerous studies have been devoted to uncovering the characteristics of resident density and urban mobility with multisource geospatial big data. However, little attention has been paid to the internal diversity of residents such as their occupations, which is a crucial aspect of urban vibrancy. This study aims to investigate the variation between individual and interactive influences of built environment factors on occupation mixture index (OMI)…
Lively Guangzhou: Deciphering the divergent intra-urban vibrancy across historic districts and CBD using interpretable machine learning
Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Location differs between traditional and new retail: A comparison analysis of Starbucks and Luckin Coffee in China using machine learning
Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets
Portraying Citizens’ Occupations and Assessing Urban Occupation Mixture with Mobile Phone Data: A Novel Spatiotemporal Analytical Framework
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns and their clusters. In this study, a novel spatiotemporal analytical framework with an integration of spatial mobility patterns and non-spatial behavior, through smart phone APP (applications) usa…
Spatial Distribution and Mechanism of Urban Occupation Mixture in Guangzhou: An Optimized GeoDetector-Based Index to Compare Individual and Interactive Effects
Numerous studies have been devoted to uncovering the characteristics of resident density and urban mobility with multisource geospatial big data. However, little attention has been paid to the internal diversity of residents such as their occupations, which is a crucial aspect of urban vibrancy. This study aims to investigate the variation between individual and interactive influences of built environment factors on occupation mixture index (OMI)…
Interactive Impacts of Built Environment Factors on Metro Ridership Using GeoDetector: From the Perspective of TOD
TOD (transit-oriented development) is a planning concept that uses public transportation stations as the center of development, and it aims to integrate land use efficiency and transportation planning linkages to encourage the use of public transportation. The impact of metro TOD projects on urban transportation is multifaceted and complex, and the promotion of metro TOD ridership is an important topic in academic circles. However, the theoretica…
Observed Equity and Driving Factors of Automated External Defibrillators: A Case Study Using WeChat Applet Data
Out-of-hospital cardiac arrest (OHCA) causes a high mortality rate each year, which is a threat to human well-being and health. An automated external defibrillator (AED) is an effective device for heart attack-related diseases and is a panacea to save OHCA. Most relevant literature focuses on the spatial distribution, accessibility, and configuration optimization of AED devices, which all belong to the characteristics of the spatial distribution …
Portraying business district vibrancy with mobile phone data and optimal parameters-based geographical detector model
AED Inequity among Social Groups in Guangzhou
Automated external defibrillators (AEDs) are regarded as the most important public facility after fire extinguishers due to their importance to out-of-hospital cardiac arrest (OHCA) victims. Previous studies focused on the location optimization of the AED, with little attention to inequity among different social groups. To comprehensively investigate the spatial heterogeneity of the AED inequity, we first collected AED data from a WeChat applet. …
Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Summer electricity consumption and its drivers in urban areas
Crafting a jogging-friendly city: Harnessing big data to evaluate the runnability of urban streets
Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Location differs between traditional and new retail: A comparison analysis of Starbucks and Luckin Coffee in China using machine learning
Lively Guangzhou: Deciphering the divergent intra-urban vibrancy across historic districts and CBD using interpretable machine learning
Uncovering the residential relocation during urban renewal with time-series big data and spatial interpretable machine learning
Dual exposure disparity: Age-specific and diurnal‐nocturnal heat exposure inequity in a subtropical metropolis
Precision governance for urban decarbonization: Decoupling passenger and freight transport emissions by integrating explainable AI and clustering
Urban Transport and Accessibility (9 works) · Geography (8 works) · Computer Science (7 works) · Human Mobility and Location-Based Analysis (6 works) · Business (5 works) · Economic geography (5 works) · Engineering (5 works) · Regional science (4 works) · Transport engineering (4 works) · Urban and Freight Transport Logistics (4 works)